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一种基于数据的方法,用于加强防止机动车撞击高速公路隧道的政策。

A data-driven approach to strengthening policies to prevent freeway tunnel strikes by motor vehicles.

机构信息

Dongyang University, School of Safety Engineering, 2741 Pyeonghwa-ro, Dongducheon, Gyeonggi, 11307, South Korea.

University of Wisconsin-Milwaukee, Department of Civil and Environmental Engineering, NWQ4414, P.O. Box 784, Milwaukee, WI, 53201, United States.

出版信息

Accid Anal Prev. 2021 Jul;157:106171. doi: 10.1016/j.aap.2021.106171. Epub 2021 May 8.

DOI:10.1016/j.aap.2021.106171
PMID:33975092
Abstract

Freeway tunnel strikes by motor vehicles inflict serious damages to the infrastructure, cause personal injuries, and create traffic congestions. Freeway tunnel hits are a constant threat in South Korea due to its mostly mountainous terrain. Despite efforts by public agencies to include disaster remedial or preventative facilities in the development of freeway tunnels, these facilities are designed mainly to reduce the number of collisions instead of also mitigate the consequences of a crash. Hence, the Korea Ministry of Land, Infrastructure and Transport (KMOLIT) recently presented a plan to modify the list of risk factors affecting tunnel traffic safety, and it recommended several strategies for tunnel traffic safety management. The study presented here took a data-driven approach to quantitatively confirming the strategies recommended by KMOLIT through the random forest-based binomial regression. The following factors were found to be significantly associated with serious injury crashes involving freeway tunnel strikes: adverse weather, fatigued and distracted drivers, collision type (i.e., head-on/angle/rear-end), tunnel exit, tunnel width, curve radius (radius less than 1800 m), and heavy vehicle. This study compares specifications of each government strategy with the effects of the identified risk factors on injuries involved in tunnel crashes to quantitatively support recommendations to modify the government strategies.

摘要

高速公路隧道被机动车撞击会对基础设施造成严重破坏,导致人员受伤,并造成交通拥堵。由于韩国多山的地形,高速公路隧道撞击是一个持续存在的威胁。尽管公共机构努力在高速公路隧道的开发中包括灾难补救或预防设施,但这些设施主要旨在减少碰撞的数量,而不是减轻碰撞的后果。因此,韩国国土交通部(KMOLIT)最近提出了一项修改影响隧道交通安全的风险因素清单的计划,并为隧道交通安全管理推荐了几种策略。本研究采用基于随机森林的二项式回归的数据分析方法,定量证实了 KMOLIT 推荐的策略。研究结果表明,以下因素与涉及高速公路隧道撞击的严重伤害事故显著相关:恶劣天气、疲劳和分心的驾驶员、碰撞类型(正面/角度/追尾)、隧道出口、隧道宽度、曲线半径(小于 1800 米)和重型车辆。本研究将每个政府策略的规范与确定的风险因素对隧道事故中受伤的影响进行比较,以定量支持修改政府策略的建议。

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引用本文的文献

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2
The difference in quasi-induced exposure to crashes involving various hazardous driving actions.涉及各种危险驾驶行为的事故准暴露差异。
PLoS One. 2023 Feb 2;18(2):e0279387. doi: 10.1371/journal.pone.0279387. eCollection 2023.